Assistant Professor Qi Li along with Assistant Professor Sihong Xie from Lehigh University have received a new NSF grant starting this Fall. The grant developed algorithms, systems, and theories for exploiting data dependencies in crowdsourcing. Data are abundantly available to encode knowledge in many domains, such as biomedical research, online commerce, open government, education, and public health. Machine learning is a powerful tool to discover novel knowledge from data and to help individuals and organizations make informed decisions. However, machine learning needs to be bootstrapped by human-annotated knowledge, which can be expensive to obtain and also contain human errors. The team of researchers discovers and exploits the dependencies in the data, via novel methodologies to significantly reduce the cost and noises when providing critical knowledge for machine learning.